Sentences with phrase «predict natural causes»

After that they predict natural causes will take over again.

Not exact matches

Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, increased competition; the Company's ability to maintain, extend and expand its reputation and brand image; the Company's ability to differentiate its products from other brands; the consolidation of retail customers; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share, or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's inability to realize the anticipated benefits from the Company's cost savings initiatives; changes in relationships with significant customers and suppliers; execution of the Company's international expansion strategy; changes in laws and regulations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; failure to successfully integrate the Company; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the nations in which the Company operates; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives that the Company uses; exchange rate fluctuations; disruptions in information technology networks and systems; the Company's inability to protect intellectual property rights; impacts of natural events in the locations in which the Company or its customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; the Company's dividend payments on its Series A Preferred Stock; tax law changes or interpretations; pricing actions; and other factors.

Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, operating in a highly competitive industry; changes in the retail landscape or the loss of key retail customers; the Company's ability to maintain, extend and expand its reputation and brand image; the impacts of the Company's international operations; the Company's ability to leverage its brand value; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share, or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's ability to realize the anticipated benefits from its cost savings initiatives; changes in relationships with significant customers and suppliers; the execution of the Company's international expansion strategy; tax law changes or interpretations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the United States and in various other nations in which we operate; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives we use; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's ability to protect intellectual property rights; impacts of natural events in the locations in which we or the Company's customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; the Company's ownership structure; the impact of future sales of its common stock in the public markets; the Company's ability to continue to pay a regular dividend; changes in laws and regulations; restatements of the Company's consolidated financial statements; and other factors.

Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, increased competition; the Company's ability to maintain, extend and expand its reputation and brand image; the Company's ability to differentiate its products from other brands; the consolidation of retail customers; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's inability to realize the anticipated benefits from the Company's cost savings initiatives; changes in relationships with significant customers and suppliers; execution of the Company's international expansion strategy; changes in laws and regulations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; failure to successfully integrate the business and operations of the Company in the expected time frame; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the nations in which the Company operates; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives that the Company uses; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's inability to protect intellectual property rights; impacts of natural events in the locations in which the Company or its customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; tax law changes or interpretations; and other factors.

But Chris Collier, head of the Met Office's Metstar consultancy service, told a conference on natural disasters in London last week that the system has failed to predict the kind of «convective» storms that have caused much of the heaviest rainfall in recent weeks.

This analysis will reveal new insights about model biases, their causes, and about the role of natural variability in long - term change.It is possible that this analysis will change the predicted timing of the «ice free summers» but large uncertainties will likely remain.

``... estimates of future rises remain hazy, mostly because there are many uncertainties, from the lack of data on what ice sheets did in the past to predict how they will react to warming, insufficient long - term satellite data to unpick the effects of natural climate change from that caused by man and a spottiness in the degree to which places such as Antarctica have warmed....

«I think it's some natural phenomenon that we don't understand very well,» Happer said and then suggested what might be the cause in response to a question about reliability of computer models in predicting climate change.

You would think researchers would welcome opportunities to balance that vast library of one - sided research with an analysis of the natural causes of climate change — so that they can evaluate the relative impact of human activities, more accurately predict future changes, and help ensure that communities, states and nations can plan for, mitigate and adapt to those impacts.

In 1975 Wallace Broeker (the guy who first used the phrase «global warming», predicted a rapid transition to warming in the 1980s, caused by a combination of rapidly rising CO2 emissions and a natural temperature cycle (derived from work on Greenland ice cores at Camp Century) which showed a rapid warming phase up to 1940, followed by the cooling phase which was attenuated by CO2.

How certain could we be that a «natural» warming is not occurring, unless we have «predicted» (modeled by cause) such warmings, at least the past 120000y?

-- never predicted monotonic warming — never predicted that natural variability would cease — do argue for significant warming by the end of the century — suggest several possible causes for the current warming hiatus * — reject claims that the hiatus invalidates any of the above on grounds of robust physics and parsimonious reasoning

If you assume that the model runs are basically correct in the long term (ie, that the amount of warming that they predict in the long term is going to happen, and that the «pause» is just a pause caused by natural variation), then it is a simple matter to plot the contribution from natural variability.

* * * The evidence to support the theory of anthropogenic, or human - caused, climate change has been mounting since the mid-1950s, when atmospheric models predicted that growing levels of CO2 in the atmosphere would add to the natural «greenhouse effect» and lead to warming.

Again I want to emphasize that my use of the temperature change rate, rather than temperature, as the predicted variable is based upon the expectation that these natural modes of climate variability represent forcing mechanisms — I believe through changes in cloud cover — which then cause a lagged temperature response.This is what Anthony and I are showing here:

While we are ultimately interested in understanding and predicting how climate will change, regardless of the cause, an ability to differentiate anthropogenic change from natural variability is fundamental to help guide policy decisions, treaty negotiations, and adaptation versus mitigation strategies.

Trenberth still relates the effect from CO2 based on 100ppmv causing an increase of 0.6 °C but does not subtract the 0.5 °C of natural warming as recovery from the LIA that has nothing to do with CO2 emissions therefore producing an effect six times too high for the effect from increased CO2 Trenberth is not aware that CO2 is not increaseing at an accelerated rate as predicted by Hansen but at a near linear rate averaging 2.037 ppmv / year so by 2100 the concentration will not be as predicted by the IPCC as per scenario A1 but merely reach a level of 573.11 ppmv by 2100, This is only in the case that CO2 increase is maintained but this may not happen as the rate appears to be slowing down with the average rate for the past 5 years being lower than the rate for the past ten years.

With a new awareness that climate could change in serious ways, in the early 1970s some scientists predicted a continued gradual cooling, perhaps a phase of a long natural cycle or perhaps caused by human pollution of the atmosphere with smog and dust.

Global Climate Models (GCMs) * Identifying the cause: — Modelling 20th Century climate variations (natural variation + internal and external climate forcing)-- Models suggest CO2 is the likely culprit — Models predict C02 finger - print (observable)-- Models forecast future climate change scenarios (observable)

There are many possible causes for the model - data discrepancy: the forcings might have been more negative than anticipated, or perhaps natural variability has a bit more negative recently, and just possibly the forced response is a little lower than (most) models predicted.

The paragraphs above the figure note that «The rise takes place during a period when, according to the IPCC report, the anthropogenic effect of global warming is evident above the background variations from natural causes» and «We are not aware of any global climate models that predicted the reversal of slope that we observe».

For this reason, insurance companies add the «Graded Death Benefit» clause to their final expense policies so that they can avoid insuring someone who is simply days away from dying from a natural cause (heart attack, cancer, stroke, etc, etc...) Now, since nobody can predict an accidental cause of death such as a slip and fall, motor vehicle accident, victim of crime, etc, etc... these types of deaths would be immediately covered without needing to survive beyond the 2 or 3 year waiting period (the graded death benefit).

Accidental causes of death such as a slip and fall, motor vehicle accident or natural disasters are causes of death that are covered immediately are not subject to the graded death benefit, simply because accidental causes of death are causes that can't be «predicted».